cor_out

Distilles the most relevant data from an output object of <code>cor.test</code> and displays the results in a compact format.

Offers a helping hand to psychologists and other behavioral scientists who routinely deal with experimental data from factorial experiments. It includes several functions to format output from other R functions according to the style guidelines of the APA (American Psychological Association). This formatted output can be copied directly into manuscripts to facilitate data reporting. These features are backed up by a toolkit of several small helper functions, e.g., offering out-of-the-box outlier removal. The package lends its name to Georg "Schorsch" Schuessler, ingenious technician at the Department of Psychology III, University of Wuerzburg. For details on the implemented methods, see Roland Pfister and Markus Janczyk (2016) <doi: 10.20982/tqmp.12.2.p147>.

Roland Pfister

schoRsch

Tools for Analyzing Factorial Experiments

cor_out function

<dl> <dt>coroutput</dt>
<dd>Output object created by a call to <code>cor.test</code>.</dd> <dt>stats</dt>
<dd>If <code>TRUE</code>, the output includes t-values and corresponding degrees of freedom (default=<code>FALSE</code>.</dd> <dt>print</dt>
<dd>Force results to be displayed, even if the function output is assigned to a variable (e.g., <code>output &lt;- cor_out(...)</code>; logical; default=<code>TRUE</code>).</dd></dl>

Arguments

Author

Format Correlation Test Statistics — cor_out

<dl>

 <dt>coroutput</dt>
<dd>Output object created by a call to <code>cor.test</code>.</dd>

 <dt>stats</dt>
<dd>If <code>TRUE</code>, the output includes t-values and corresponding degrees of freedom (default=<code>FALSE</code>.</dd>

 <dt>print</dt>
<dd>Force results to be displayed, even if the function output is assigned to a variable (e.g., <code>output &lt;- cor_out(...)</code>; logical; default=<code>TRUE</code>).</dd>

</dl>

cor_out: Format Correlation Test Statistics

Description

Usage

Value

Arguments

Author

Details

See Also